annotate test-data/keras02.json @ 15:b94babda32e4 draft default tip

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f031d8ddfb73cec24572648666ac44ee47f08aad
author bgruening
date Thu, 11 Aug 2022 09:11:27 +0000
parents a2e4a45c6083
children
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7
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1 {
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2 "class_name": "Model",
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3 "config": {
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4 "name": "model_1",
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5 "layers": [
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6 {
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7 "name": "main_input",
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8 "class_name": "InputLayer",
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9 "config": {
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10 "batch_input_shape": [
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13 ],
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14 "dtype": "int32",
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15 "sparse": false,
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16 "name": "main_input"
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17 },
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18 "inbound_nodes": []
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19 },
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20 {
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21 "name": "embedding_1",
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22 "class_name": "Embedding",
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23 "config": {
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24 "name": "embedding_1",
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25 "trainable": true,
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26 "batch_input_shape": [
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29 ],
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30 "dtype": "float32",
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31 "input_dim": 10000,
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32 "output_dim": 512,
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33 "embeddings_initializer": {
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34 "class_name": "RandomUniform",
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35 "config": {
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36 "minval": -0.05,
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37 "maxval": 0.05,
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38 "seed": null
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39 }
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40 },
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41 "embeddings_regularizer": null,
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42 "activity_regularizer": null,
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43 "embeddings_constraint": null,
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44 "mask_zero": false,
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45 "input_length": 100
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46 },
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47 "inbound_nodes": [
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48 [
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49 [
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50 "main_input",
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51 0,
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52 0,
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53 {}
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54 ]
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57 },
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58 {
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59 "name": "lstm_1",
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60 "class_name": "LSTM",
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61 "config": {
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62 "name": "lstm_1",
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63 "trainable": true,
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64 "dtype": "float32",
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65 "return_sequences": false,
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66 "return_state": false,
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67 "go_backwards": false,
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68 "stateful": false,
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69 "unroll": false,
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70 "units": 32,
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71 "activation": "tanh",
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72 "recurrent_activation": "sigmoid",
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73 "use_bias": true,
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74 "kernel_initializer": {
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75 "class_name": "VarianceScaling",
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76 "config": {
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77 "scale": 1.0,
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78 "mode": "fan_avg",
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79 "distribution": "uniform",
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80 "seed": null
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81 }
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82 },
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83 "recurrent_initializer": {
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84 "class_name": "Orthogonal",
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85 "config": {
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86 "gain": 1.0,
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87 "seed": null
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88 }
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89 },
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90 "bias_initializer": {
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91 "class_name": "Zeros",
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92 "config": {}
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93 },
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94 "unit_forget_bias": true,
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105 },
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116 },
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123 "dtype": "float32",
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125 "activation": "sigmoid",
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127 "kernel_initializer": {
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128 "class_name": "VarianceScaling",
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131 "mode": "fan_avg",
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134 }
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135 },
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156 },
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158 "name": "aux_input",
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196 },
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199 "class_name": "Dense",
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203 "dtype": "float32",
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205 "activation": "relu",
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206 "use_bias": true,
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207 "kernel_initializer": {
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208 "class_name": "VarianceScaling",
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209 "config": {
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211 "mode": "fan_avg",
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212 "distribution": "uniform",
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214 }
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215 },
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216 "bias_initializer": {
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217 "class_name": "Zeros",
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219 },
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225 },
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232 {}
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236 },
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237 {
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238 "name": "dense_3",
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239 "class_name": "Dense",
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241 "name": "dense_3",
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242 "trainable": true,
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243 "dtype": "float32",
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244 "units": 64,
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245 "activation": "relu",
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246 "use_bias": true,
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247 "kernel_initializer": {
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248 "class_name": "VarianceScaling",
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249 "config": {
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250 "scale": 1.0,
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251 "mode": "fan_avg",
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252 "distribution": "uniform",
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253 "seed": null
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254 }
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255 },
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256 "bias_initializer": {
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257 "class_name": "Zeros",
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258 "config": {}
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259 },
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263 "kernel_constraint": null,
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264 "bias_constraint": null
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265 },
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266 "inbound_nodes": [
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267 [
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269 "dense_2",
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272 {}
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273 ]
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276 },
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277 {
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278 "name": "dense_4",
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279 "class_name": "Dense",
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280 "config": {
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281 "name": "dense_4",
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282 "trainable": true,
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283 "dtype": "float32",
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284 "units": 64,
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285 "activation": "relu",
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286 "use_bias": true,
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288 "class_name": "VarianceScaling",
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291 "mode": "fan_avg",
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294 }
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295 },
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305 },
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325 "activation": "sigmoid",
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331 "mode": "fan_avg",
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332 "distribution": "uniform",
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335 },
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diff changeset
383 "keras_version": "2.3.1",
a2e4a45c6083 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 6bb8bb56f44769dcba665de057c35d74ac89e196"
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384 "backend": "tensorflow"
a2e4a45c6083 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 6bb8bb56f44769dcba665de057c35d74ac89e196"
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385 }